Measuring the evolution of radical right-wing posting behaviors online

Researchers have previously explored how right-wing extremists build a collective identity online by targeting their perceived "threat," but little is known about how this "us" versus "them" dynamic evolves over time. This study uses a sentiment analysis-based algorithm...

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Bibliographic Details
Authors: Scrivens, Ryan (Author) ; Davies, Garth J. 1967- (Author) ; Frank, Richard (Author)
Format: Electronic Article
Language:English
Published: 2020
In: Deviant behavior
Year: 2020, Volume: 41, Issue: 2, Pages: 216-232
Online Access: Volltext (lizenzpflichtig)
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520 |a Researchers have previously explored how right-wing extremists build a collective identity online by targeting their perceived "threat," but little is known about how this "us" versus "them" dynamic evolves over time. This study uses a sentiment analysis-based algorithm that adapts criminal career measures, as well as semi-parametric group-based modeling, to evaluate how users’ anti-Semitic, anti-Black, and anti-LGBTQ posting behaviors develop on a sub-forum of the most conspicuous white supremacy forum. The results highlight the extent to which authors target their key adversaries over time, as well as the applicability of a criminal career approach in measuring radical posting trajectories online. 
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